Recent Research on the Measurement and Modeling of Sea Ice

A special issue of Journal of Marine Science and Engineering (ISSN 2077-1312). This special issue belongs to the section "Physical Oceanography".

Deadline for manuscript submissions: 15 March 2025 | Viewed by 6315

Special Issue Editors


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Guest Editor
Naval Research Laboratory, Ocean Sciences Division, Code 7322, Stennis Space Center, MS 39529, USA
Interests: wave modeling and measurement; rogue waves; wave-ice interaction; data assimilation; nearshore processes; sediment transport
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Guest Editor
Ocean Sciences Division, Naval Research Laboratory, Code 7322, Stennis Space Center, MS 39529, USA
Interests: ice thickness; ice; arctic ocean meridional circulation; oceans and seas; north atlantic mesoscale eddy; drifter; mixed layer

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Guest Editor
Department of Arctic Technology, University Center in Svalbard, Longyearbyen, Norway
Interests: ice mechanics; environmental loads on arctic structures; arctic engineering and technology

Special Issue Information

Dear Colleagues,

Sea ice in the polar oceans plays a crucial role in the Earth's climate system, serving as both a barometer and amplifier of climate change. The ice acts as a reflective shield, reflecting a significant portion of incoming solar radiation back into space and helping to regulate the planet's temperature. The sea ice ecosystem is a unique and dynamic environment that supports a diverse array of organisms, serving as a habitat for species ranging from microscopic algae and bacteria to larger mammals like seals and polar bears. Additionally, sea ice plays a vital role in global ocean circulation patterns, influencing the exchange of heat, salt, and nutrients between the ocean and the atmosphere.

As global mean temperatures continue to rise, the consequent thinning and retreat of the polar ice cover is leading to significant environmental, ecological, and political consequences in polar regions and beyond. Interest is growing in the navigation and development of these regions, which are becoming increasingly crowded with both civilian and military vessels. It is therefore important to improve our understanding of the properties and behavior of sea ice and more effectively predict how it will evolve in the future.

Measurement and modeling of sea ice are crucial for determining and predicting its extent, thickness, and overall health. A wide range of different techniques are used to monitor and quantify sea ice conditions, including satellite observations, ice-penetrating radar and laser altimeters, field expeditions, and autonomous buoys. Continuous advancements in modeling techniques and increased availability of observational data are essential to enhancing our understanding of this critical component of the Earth's cryosphere and informing policy decisions related to climate change and polar environments.

For this Special Issue, we welcome contributions focusing on any aspects of the measurement or modeling of polar sea ice, including but not limited to physical properties, seasonal evolution patterns, present and future extent, the sea ice ecosystem, effects on the polar environment, its role in moderating global climate change, or air–ice–ocean-wave interactions.

Dr. Mark D. Orzech
Dr. David A. Hebert
Prof. Aleksey Marchenko
Guest Editors

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Keywords

  • sea ice
  • cryosphere
  • forecasting
  • measurement
  • climate change
  • marginal ice zone

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Published Papers (6 papers)

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Research

14 pages, 7749 KiB  
Article
Analysis of Arctic Sea Ice Concentration Anomalies Using Spatiotemporal Clustering
by Yongheng Li, Yawen He, Yanhua Liu and Feng Jin
J. Mar. Sci. Eng. 2024, 12(8), 1361; https://doi.org/10.3390/jmse12081361 - 10 Aug 2024
Viewed by 637
Abstract
The dynamic changes of sea ice exhibit spatial clustering, and this clustering has characteristics extending from its origin, through its development, and to its dissipation. Current research on sea ice change primarily focuses on spatiotemporal variation trends and remote correlation analysis, and lacks [...] Read more.
The dynamic changes of sea ice exhibit spatial clustering, and this clustering has characteristics extending from its origin, through its development, and to its dissipation. Current research on sea ice change primarily focuses on spatiotemporal variation trends and remote correlation analysis, and lacks an analysis of spatiotemporal evolution characteristics. This study utilized monthly sea ice concentration (SIC) data from the National Snow and Ice Data Center (NSIDC) for the period from 1979 to 2022, utilizing classical spatiotemporal clustering algorithms to analyze the clustering patterns and evolutionary characteristics of SIC anomalies in key Arctic regions. The results revealed that the central-western region of the Barents Sea was a critical area where SIC anomaly evolutionary behaviors were concentrated and persisted for longer durations. The relationship between the intensity and duration of SIC anomaly events was nonlinear. A positive correlation was observed for shorter durations, while a negative correlation was noted for longer durations. Anomalies predominantly occurred in December, with complex evolution happening in April and May of the following year, and concluded in July. Evolutionary state transitions mainly occurred in the Barents Sea. These transitions included shifts from the origin state in the northwestern margin to the dissipation state in the central-north Barents Sea, from the origin state in the central-north to the dissipation state in the central-south, and from the origin state in the northeastern to the dissipation state in the central-south Barents Sea and southeastern Kara Sea. Various evolutionary states were observed in the same area on the southwest edge of the Barents Sea. These findings provide insights into the evolutionary mechanism of sea ice anomalies. Full article
(This article belongs to the Special Issue Recent Research on the Measurement and Modeling of Sea Ice)
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19 pages, 4982 KiB  
Article
Leaky Wave Modes and Edge Waves in Land-Fast Ice Split by Parallel Cracks
by Aleksey Marchenko, Mark Johnson and Dmitry Brazhnikov
J. Mar. Sci. Eng. 2024, 12(8), 1247; https://doi.org/10.3390/jmse12081247 - 23 Jul 2024
Viewed by 730
Abstract
In this paper we consider flexural-gravity waves propagating in a layer of water of constant depth limited by a vertical wall simulating a straight coastline. The water surface is covered with an elastic ice sheet of constant thickness. The ice sheet is split [...] Read more.
In this paper we consider flexural-gravity waves propagating in a layer of water of constant depth limited by a vertical wall simulating a straight coastline. The water surface is covered with an elastic ice sheet of constant thickness. The ice sheet is split by one or two straight cracks parallel to the coastline, simulating the structure of land-fast ice with a refrozen lead. Analytical solutions of hydrodynamic equations describing the interaction of flexural-gravity waves with the ice sheet and cracks have been constructed and studied. In this paper, the amplification of the amplitude of incident waves between the shoreline and cracks was described depending on the incident angle of the wave coming from offshore. The constructed solutions allow the existence of edge waves propagating along the coastline and attenuated offshore. The energy of edge waves is trapped between the coastline and ice cracks. The application of the constructed solutions to describe wave phenomena observed in the land-fast ice of the Arctic shelf of Alaska is discussed. Full article
(This article belongs to the Special Issue Recent Research on the Measurement and Modeling of Sea Ice)
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14 pages, 12773 KiB  
Article
Arctic-Type Seismoacoustic Waveguide: Theoretical Foundations and Experimental Results
by Alexey Sobisevich, Dmitriy Presnov and Andrey Shurup
J. Mar. Sci. Eng. 2024, 12(7), 1060; https://doi.org/10.3390/jmse12071060 - 24 Jun 2024
Viewed by 847
Abstract
The results of theoretical analysis and practical implementation of seismoacoustic methods developed for monitoring ice-covered regions in the Arctic are presented and discussed. Special attention is paid to passive seismoacoustic tomography as a unique method of studying the deep structure of the lithosphere [...] Read more.
The results of theoretical analysis and practical implementation of seismoacoustic methods developed for monitoring ice-covered regions in the Arctic are presented and discussed. Special attention is paid to passive seismoacoustic tomography as a unique method of studying the deep structure of the lithosphere and hydrosphere without the use of powerful sources. One of the distinctive features of the considered approach is the use of receivers located on the ice surface to recover characteristics of Arctic-type seismoacoustic waveguide “lithosphere-hydrosphere-ice cover”. In passive monitoring, special attention is paid to reducing the noise signal accumulation time required to obtain seismoacoustic wave propagation times, as well as expanding the analyzed frequency bandwidth. The presented results can be used to develop technologies for seasonal and long-term monitoring of the currently observed variability of large areas of the Arctic region due to climatic changes. Full article
(This article belongs to the Special Issue Recent Research on the Measurement and Modeling of Sea Ice)
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22 pages, 6685 KiB  
Article
Influence of New Parameterization Schemes on Arctic Sea Ice Simulation
by Yang Lu, Xiaochun Wang, Yijun He, Jiping Liu, Jiangbo Jin, Jian Cao, Juanxiong He, Yongqiang Yu, Xin Gao, Mirong Song and Yiming Zhang
J. Mar. Sci. Eng. 2024, 12(4), 555; https://doi.org/10.3390/jmse12040555 - 26 Mar 2024
Viewed by 917
Abstract
Two coupled climate models that participated in the CMIP6 project (Coupled Model Intercomparison Project Phase 6), the Earth System Model of Chinese Academy of Sciences version 2 (CAS-ESM2-0), and the Nanjing University of Information Science and Technology Earth System Model version 3 (NESM3) [...] Read more.
Two coupled climate models that participated in the CMIP6 project (Coupled Model Intercomparison Project Phase 6), the Earth System Model of Chinese Academy of Sciences version 2 (CAS-ESM2-0), and the Nanjing University of Information Science and Technology Earth System Model version 3 (NESM3) were assessed in terms of the impact of four new sea ice parameterization schemes. These four new schemes are related to air–ice heat flux, radiation penetration and absorption, melt ponds, and ice–ocean flux, respectively. To evaluate the effectiveness of these schemes, key sea ice variables with and without these new schemes, such as sea ice concentration (SIC) and sea ice thickness (SIT), were compared against observation and reanalysis products from 1980 to 2014. The simulations followed the design of historical experiments within the CMIP6 framework. The results revealed that both models demonstrated improvements in simulating Arctic SIC and SIT when the new parameterization schemes were implemented. The model bias of SIC in some marginal sea ice zones of the Arctic was reduced, especially during March. The SIT was increased and the transpolar gradient of SIT was reproduced. The changes in spatial patterns of SIC and SIT after adding new schemes bear similarities between the two coupled models. This suggests that the new schemes have the potential for broad application in climate models for simulation and future climate scenario projection, especially for those with underestimated SIT. Full article
(This article belongs to the Special Issue Recent Research on the Measurement and Modeling of Sea Ice)
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23 pages, 6423 KiB  
Article
Laboratory Investigations of Iceberg Melting under Wave Conditions in Sea Water
by Aleksey Marchenko and Nataliya Marchenko
J. Mar. Sci. Eng. 2024, 12(3), 501; https://doi.org/10.3390/jmse12030501 - 18 Mar 2024
Viewed by 1096
Abstract
Changes in the masses of icebergs due to deterioration processes affect the drift of icebergs and should be taken into account when assessing iceberg risks in the areas of offshore development. In 2022 and 2023, eight laboratory experiments were carried out in the [...] Read more.
Changes in the masses of icebergs due to deterioration processes affect the drift of icebergs and should be taken into account when assessing iceberg risks in the areas of offshore development. In 2022 and 2023, eight laboratory experiments were carried out in the wave tank of the University Centre in Svalbard to study the melting of icebergs in sea water under calm and rough conditions. In the experiments, the water temperatures varied from 0  to 2.2 . Cylindrical iceberg models were made from columnar ice cores with a diameter of 24 cm. In one experiment, the iceberg model was protected on the sides with plastic fencing to investigate the iceberg’s protection from melting when towed to deliver fresh water. The iceberg masses, water temperatures, and ice temperatures were measured in the experiments. The water velocity near the iceberg models was measured with an acoustic Doppler velocimeter. During the experiments, time-lapse cameras were used to describe the shapes and measure the vertical dimensions of the icebergs. Using experimental data, we calculated the horizontal dimensions of icebergs, latent heat fluxes, conductive heat fluxes inside the iceberg models, and turbulent heat fluxes in water as a function of time. We discovered the influence of surface waves and water mixing on the melt rates and found a significant reduction in the melt rates due to the lateral protection of the iceberg model using a plastic barrier. Based on the experimental data obtained, the ratio of the rates of lateral and bottom melting of the icebergs and lateral melting of the icebergs under wave conditions was parametrized depending on the wave frequency. Full article
(This article belongs to the Special Issue Recent Research on the Measurement and Modeling of Sea Ice)
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19 pages, 3328 KiB  
Article
A New Method for Modeling Effects of Surface Ice on Waves
by Mark Orzech
J. Mar. Sci. Eng. 2023, 11(10), 2017; https://doi.org/10.3390/jmse11102017 - 20 Oct 2023
Viewed by 1097
Abstract
Accurate prediction of ocean surface wave attenuation in polar marginal ice zones remains a challenge. In this article, an alternative approach to the problem is introduced, in which the ice layer is represented with a modified version of the vegetation damping parameterization in [...] Read more.
Accurate prediction of ocean surface wave attenuation in polar marginal ice zones remains a challenge. In this article, an alternative approach to the problem is introduced, in which the ice layer is represented with a modified version of the vegetation damping parameterization in a phase-resolved wave model. The new representation is evaluated by comparison to theory and measured data under varied wave and ice conditions. Model-estimated profiles of RMS water velocity and Reynolds stress under ice layers with different drag coefficients are found to be qualitatively comparable to a range of nondimensional profiles computed using viscous layer theory. Modeled profiles appear somewhat vertically “stretched” relative to theoretical results, and in this respect, they more closely resemble measurements obtained during a recent wave–ice laboratory experiment. Estimated values of the wave attenuation coefficient and wavenumber in ice from the adapted model align well with theory and with a range of lab and field datasets. Several additional model ice parameters are available to facilitate a more nuanced representation of surface ice effects and will be investigated further in an upcoming companion study. Full article
(This article belongs to the Special Issue Recent Research on the Measurement and Modeling of Sea Ice)
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